Pretrained pixel world-model assets
Anonymous supplementary checkpoints for the accompanying double-blind submission. These assets support pixel-based tree-search experiments on five LIBERO-90 tasks.
Contents
checkpoint_00200000.safetensors: action-conditioned, two-view, 128-pixel video world model trained for 200,000 steps.t5_context_cache/: precomputed frozen text-encoder outputs for the five released task prompts and the empty negative prompt.onestep_state_wm/.../checkpoint_best.safetensors: one-step state model mapping(state, action)to the next state.
The base Wan2.2 VAE and tokenizer are third-party assets and are intentionally not redistributed here. Follow the anonymous code artifact README to obtain them from their official source.
Download all released assets with:
hf download qlearningwithworldmodels/anonymous-pixel-world-models \
--local-dir pixel_world_models
Verify downloads against SHA256SUMS before use. Author and archival links
are intentionally omitted during double-blind review and will be added after
the review period.